TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Montpellier HSC vs. Pau FC
polymarket
kalshi

What is the result of Montpellier HSC vs. Pau FC?

Volume:
$53,315

Montpellier

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 11, 2026

Closed: Sep 11, 4:03 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Montpellier

View
100%
Yes 100¢No 0¢
100¢
N/A
$22,737
N/A
N/A
$16,974
Settled
Yes
polymarket

Montpellier HSC

100%
49%
Yes 100¢No 0¢
0.1¢
N/A
$18,042
N/A
N/A
N/A
Settled
Yes
kalshi

Tie

0%
29%
Yes 0¢No 100¢
100¢
N/A
$5,637
N/A
N/A
$5,315
Settled
No
polymarket

Draw (Montpellier HSC vs. Pau FC)

0%
28%
Yes 0¢No 100¢
—
N/A
$605
N/A
N/A
N/A
Settled
No
kalshi

Pau

0%
Yes 0¢No 100¢
100¢
N/A
$4,577
N/A
N/A
$3,455
Settled
No
polymarket

Pau FC

0%
22%
Yes 0¢No 100¢
—
N/A
$1,718
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

This group forecasts the outcome of a Ligue 2 soccer match between Montpellier HSC and Pau FC scheduled for September 11, 2026. Markets exist for Montpellier winning, Pau FC winning, and the game ending in a draw.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both Polymarket and Kalshi define resolution based on the same 90-minute match result and have identical fallback procedures for data sourcing and handling of postponements/cancellations.Primary resolution logic: Official Ligue 2 statistics (https://www.ligue2.fr/)

Core resolution logic:

  • Markets resolve based on the outcome (win, loss, or draw) within the first 90 minutes of regular play plus stoppage time.
  • If the match is postponed, markets remain open until the match is completed.
  • If the match is canceled without a reschedule, 'No' markets (Montpellier/Pau win) resolve to 'No', and the draw market resolves to 'Yes'.

Edge cases & clarifications:

  • Data Source Failure: If official Ligue 2 statistics are unavailable within 2 hours of the match's conclusion, data from Flashscore will be used. If Flashscore is unavailable, Sofascore will be used. If neither is available, a consensus of credible reporting will be used.
  • Score Revisions: Revisions to officially declared final scores made *after* market resolution will not affect the outcome.
Timing: Resolution will occur as soon as official match statistics are available, or within 2 hours of the match's conclusion if official data is delayed, utilizing the fallback data sources as needed.Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This event is for the upcoming Ligue 2 game, scheduled for Friday, September 11, 2026 between Montpellier HSC and Pau FC.

Kalshi

The event resolves based on the result of the Montpellier vs Pau professional Ligue 2 soccer match scheduled for September 11, 2026, after 90 minutes plus stoppage time. A market resolves to Yes if the associated team wins the match within this timeframe. If the match ends in a tie after regular time, the Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price following the platform's guidelines. The event exclusively considers the outcome of the standard match duration and does not account for results determined during extra time or penalty shootouts.

Frequently asked questions

On Polymarket and Kalshi, this dashboard tracks the probability of different outcomes for the Montpellier vs. Pau match. Currently, the consensus view across these platforms indicates a roughly 50.5% chance of a specific outcome, with a total volume of $53,315 traded. This allows users to see how the ‘wisdom of the crowd’ is assessing the likelihood of various results as the event approaches. The dashboard aggregates data from both venues to provide a comprehensive view of market sentiment. We are monitoring volume and price movements across both Polymarket and Kalshi.

Prediction market odds, like those found on Polymarket and Kalshi, often reflect a more accurate assessment of probabilities than traditional sportsbook odds. This is because prediction markets incentivize participants to reveal their true beliefs, while sportsbooks may incorporate biases or seek to maximize profit margins. While sportsbooks set initial lines based on statistical models and expert analysis, this market allows for continuous price discovery as new information emerges. The collective intelligence of traders can lead to odds that more closely align with the actual likelihood of events occurring in the Montpellier vs. Pau match. However, discrepancies can exist due to differing market participants and liquidity.

Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi may diverge due to several factors. These platforms have different user bases, trading volumes, and market structures. Polymarket may attract more sophisticated traders or those with specialized knowledge of football, while Kalshi might have a broader range of participants. Additionally, the liquidity of this market differs between the two venues, impacting price discovery. The current volume of $53,315 reflects overall interest, but the distribution of that volume across platforms influences individual pricing. These differences can create arbitrage opportunities for traders.